Aug 2024 – Present · 1 yr 9 mos · United States · Remote

• Leading retrieval, memory, and knowledge platform services for AI agents across Microsoft Copilot products and enterprise customer workloads.
• Led technical delivery of knowledge retrieval layer across M365 Copilot, Fabric, Xbox, Copilot Studio, Azure AI Foundry, and GitHub Copilot.
• Drove customer and partner engagements to deploy RAG, file search, and knowledge-retrieval workloads in production.
• Architected Foundry IQ, a managed retrieval layer powering billions of daily queries.
• Built evaluation frameworks for relevance, latency, and grounding accuracy across production systems.
• Partnered with engineering, field, and executive stakeholders to scope deployments and codify repeatable AI rollout patterns.

Apr 2022 – Aug 2024 · 2 yrs 4 mos · United States · Remote

• Built Azure AI Search’s foundational retrieval stack for generative AI, including Microsoft’s first managed vector database and semantic reranking capabilities.
• Designed and launched Azure’s first Reranker Model (Semantic Ranker) and managed Vector Database from 0→1.
• Led product direction for RAG and vector / hybrid retrieval across Azure AI scenarios.
• Built quickstarts, tutorials, and reference architectures that drove 3× customer adoption.
• Delivered workshops with startups and enterprise teams on RAG, vector search, and production AI deployment.
• Fed customer implementation patterns back into product direction to improve usability and rollout readiness.